Scientific Computing

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Numerical Methods for Engineers (Coursera)

Numerical Methods for Engineers covers the most important numerical methods that an engineer should know. We derive basic algorithms in root finding, matrix algebra, integration and interpolation, ordinary and partial differential equations. We learn how to use MATLAB to solve numerical problems. Access to MATLAB [...]
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Julia Scientific Programming (Coursera)

This four-module course introduces users to Julia as a first language. Julia is a high-level, high-performance dynamic programming language developed specifically for scientific computing. This language will be particularly useful for applications in physics, chemistry, astronomy, engineering, data science, bioinformatics and many more. [...]
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Fortran for Scientific Computing (FutureLearn)

Learn how to program in Fortran. Use object-oriented programming to design efficient and maintainable code. Discover the power of Fortran for scientific programming. Fortran is a programming language that has been designed for scientific computing, allowing users to naturally express numerical problems. On this course, you’ll discover how to [...]
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